Monte Carlo Simulation Framework for Medical Linear Accelerator Shielding

This repository contains a Monte Carlo simulation framework for evaluating aluminum-boron carbide composites in medical linear accelerator photoneutron shielding. The framework achieved 0.00% error against ENDF/B-VIII.0 nuclear data standards and passed 279 independent validation tests with a 100% success rate. It was authored by Shiva Shankar Bugude and hosted by Harvard Dataverse.

Use Cases

• Validate Monte Carlo simulation results against the ENDF/B-VIII.0 nuclear data standard to ensure accuracy in shielding calculations.
• Use the framework's 279 validation test results to benchmark new shielding material simulations for medical linear accelerators.
• Analyze the framework's methodology for achieving 0.00% error in agreement with established nuclear data standards.

Strengths

• Achieved exact agreement (0.00% error) with the ENDF/B-VIII.0 nuclear data standard.
• Passed 279 independent validation tests with a 100% success rate.
• Provides a complete simulation framework specifically for aluminum-boron carbide composite evaluation.

Limitations

• The dataset is a simulation framework, not a tabular dataset with rows and columns for direct statistical analysis.
• No sample data or specific file formats are provided, limiting immediate usability without further investigation.
• The framework's performance is validated for a specific application (Al-B₄C composites in medical LINACs), which may limit generalizability.

Provenance

Source

Harvard Dataverse

Collection Method

Monte Carlo simulation framework developed for research.

Freshness

Last updated on 2026-02-17.